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Record W2161569742 · doi:10.1139/s08-028

Evaluation of the inhibition of culturable <i>Enterococcus faecium</i>, <i>Escherichia coli</i>, or <i>Aeromonas hydrophilia</i> by an existing drinking water biofilm

2008· article· en· W2161569742 on OpenAlexvenueno aff
Shawn G. Gibbs, Mark C. Meckes, Melchor Ortiz, Christopher F. Green, Pasquale V. Scarpino

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsnot available
FundersNational Center on Minority Health and Health DisparitiesUniversity of PennsylvaniaNational Institutes of HealthU.S. Environmental Protection Agency
KeywordsBiofilmMicroorganismMicrobiologyAeromonasEnterococcus faeciumBacteriaEnterococcusBiologyFood scienceAntibiotics

Abstract

fetched live from OpenAlex

Biofilms in potable water distribution systems consist of microorganisms that can survive and grow under the low nutrient concentrations commonly found within water distribution systems. This experiment evaluated the ability of an existing biofilm to reduce the number of introduced microorganisms adhered to materials in an aquatic environment. Ductile iron biofilm sampling coupons were separated into two groups, one had existing biofilm (pre-colonized) and the second group of coupons had no biofilm present (control). Biofilm sampling coupons were challenged by suspensions of individual study organisms consisting of Enterococcus faecium , Escherichia coli , or Aeromonas hydrophilia , and a sterile solution (control). Densities of culturable study organisms on control coupons were compared to densities of these same culturable organisms on biofilm pre-colonized coupons. Results demonstrate that drinking water distribution systems may be vulnerable to the development of potentially pathogenic bacteria in biofilm when lines are initially placed in service. Conclusions are that existing biofilm may serve as a barrier to introduced study organisms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.217
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

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